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Computer Vision Engineer Jobs in New York (NOW HIRING)

Rebar

Senior Deep Learning Engineer

Manhattan, NY

$115K - $158K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

Next League

AI Solutions Engineer

Manhattan, NY · On-site

Next League is seeking an AI Solutions Engineer to design, build, and ship production AI systems ... computer vision pipelines. Responsibilities : • Build and ship AI agents, copilots, and RAG ...

ReEnforce Consulting

AI/ML Engineer

Manhattan, NY

AI/ML Engineers Are you an experienced AI/ML Engineer with a strong technical foundation, a self ... Proven experience with deep learning, NLP, or computer vision * Minimum of 12 months of hands-on ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ

$116K - $139K/yr

... computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

Norbert Health

Applied AI Engineer

New York, NY · On-site

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

NBCUniversal

Deep Learning Engineer

Manhattan, NY

$160K - $175K/yr

Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in ... Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.

Norbert Health

Applied AI Engineer

Brooklyn, NY

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in New York

Computer Vision Engineer information

See New York salary details

$53.1K

$132.9K

$150.4K

How much do computer vision engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer vision engineer in New York is $132,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $143,900.00 per year, depending on experience, location, and employer.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in New York? The most popular types of Computer Vision Engineer jobs in New York are:
What are popular job titles related to Computer Vision Engineer jobs in New York? For Computer Vision Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in New York look for? The top searched job categories for Computer Vision Engineer jobs in New York are:
What cities in New York are hiring for Computer Vision Engineer jobs? Cities in New York with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in New York as of May 2026, with employment types broken down into 1% As Needed, 61% Full Time, 36% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $132,942 per year, or $63.9 per hour.

Senior Deep Learning Engineer

Rebar

Manhattan, NY

$115K - $158K/yr

Other

Medical, Dental, Vision

Posted 23 days ago

Job description

Background
Rebar is building the next-generation operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. Over the past year, our V1 quoting product has scaled to thousands of quotes completed weekly, doubled revenue in 2026, and gained adoption across many of the top suppliers in North America. Fresh off a $14M Series A backed by leading construction tech investors, we're entering our next phase of growth - with AI at the center of everything we build next.
We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world environments. You'll be joining a small, highly capable team focused on delivering practical, production-ready ML systems - from data pipelines through to fine-tuned models - in a fast-moving startup context.
This role is ideal for someone who enjoys working with models under the hood, building and adapting training workflows, and applying research ideas to novel engineering challenges. Our work involves more than model inference - we design training workflows, develop evaluation pipelines, and engineer solutions that go beyond standard model usage.
Responsibilities
  • Model Training & Development: Design and train deep learning models for layout analysis, OCR, object detection, image to graph, and other related tasks. In some cases, you'll extend or adapt existing architectures; in others, you'll help design custom approaches from the ground up.
  • Evaluation and Monitoring: Build robust metrics, monitor production model performance, and proactively identify failure modes and areas for improvement.
  • Collaboration and Integration: Work closely with the engineering team to integrate models into our product and infrastructure. Participate in architecture and roadmap decisions.
What We're Looking For
You should feel confident implementing training logic, experimenting with model internals, and debugging the kinds of real-world issues that arise when pushing ML into production.
We're seeking someone with deep learning mastery and enjoys turning ideas into working, production-ready systems. This role is a great fit if you enjoy getting deep into PyTorch, working across the full ML stack, and solving open-ended modeling problems.
Required Qualifications
  • Master's degree or PhD in Computer Science, Electrical Engineering, or other relevant field with main focus on deep learning.
  • Proven ability to implement and adapt techniques or architectures from academic or industry literature.
  • Proven track record tackling novel ML challenges in the field of Deep Learning.
  • 3+ years of experience developing and adapting model architectures with PyTorch.
  • 2+ years of experience with deep learning for computer vision applications, especially semantic segmentation or object detection.
  • 2+ years of experience with production-level code development and optimization.
Nice to Have
  • Experience with active learning setups
  • Applied experience with RLHF (Reinforcement Learning from Human Feedback)
  • Published research developing SOTA computer vision or (or other DL) models
  • Experience with deployment and monitoring pipelines for ML systems.
Compensation and Benefits
  • Salary: Competitive
  • Equity: Meaningful equity package, commensurate with experience
  • Benefits: Comprehensive medical, dental, and vision coverage
  • Perks: Free lunches and dinners provided

This is a salaried, onsite role located in New York City's beautiful Flatiron district, just minutes away from Madison Square Park and Union Square. Working onsite offers invaluable opportunities for real-time collaboration, creative problem-solving, and building strong connections within our talented and dynamic team. You'll be at the heart of our fast-paced operations, actively contributing to a culture that values engagement, growth, and teamwork.

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